JingsongLi commented on code in PR #138:
URL: https://github.com/apache/flink-table-store/pull/138#discussion_r884388037
##########
flink-table-store-connector/src/main/java/org/apache/flink/table/store/connector/TableStoreManagedFactory.java:
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@@ -183,6 +204,84 @@ public void onDropTable(Context context, boolean
ignoreIfNotExists) {
@Override
public Map<String, String> onCompactTable(
Context context, CatalogPartitionSpec catalogPartitionSpec) {
- throw new UnsupportedOperationException("Not implement yet");
+ Map<String, String> newOptions = new
HashMap<>(context.getCatalogTable().getOptions());
+ FileStore fileStore = buildTableStore(context).buildFileStore();
+ FileStoreScan.Plan plan =
+ fileStore
+ .newScan()
+ .withPartitionFilter(
+ PredicateConverter.CONVERTER.fromMap(
+
catalogPartitionSpec.getPartitionSpec(),
+ fileStore.partitionType()))
+ .plan();
+
+ Preconditions.checkState(
+ plan.snapshotId() != null && !plan.files().isEmpty(),
+ "The specified %s to compact does not exist any snapshot",
+ catalogPartitionSpec.getPartitionSpec().isEmpty()
+ ? "table"
+ : String.format("partition %s",
catalogPartitionSpec.getPartitionSpec()));
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> groupBy =
plan.groupByPartFiles();
+ if
(!Boolean.parseBoolean(newOptions.get(COMPACTION_RESCALE_BUCKET.key()))) {
+ groupBy =
+ pickManifest(
+ groupBy,
+ new
FileStoreOptions(Configuration.fromMap(newOptions))
+ .mergeTreeOptions(),
+ new
KeyComparatorSupplier(fileStore.partitionType()).get());
+ }
+ try {
+ newOptions.put(
+ COMPACTION_SCANNED_MANIFEST.key(),
+ Base64.getEncoder()
+ .encodeToString(
+ InstantiationUtil.serializeObject(
+ new PartitionedManifestMeta(
+ plan.snapshotId(),
groupBy))));
+ } catch (IOException e) {
+ throw new RuntimeException(e);
+ }
+ return newOptions;
+ }
+
+ @VisibleForTesting
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> pickManifest(
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> groupBy,
+ MergeTreeOptions options,
+ Comparator<RowData> keyComparator) {
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> filtered = new
HashMap<>();
+
+ for (Map.Entry<BinaryRowData, Map<Integer, List<DataFileMeta>>>
partEntry :
+ groupBy.entrySet()) {
+ Map<Integer, List<DataFileMeta>> manifests = new HashMap<>();
+ for (Map.Entry<Integer, List<DataFileMeta>> bucketEntry :
+ partEntry.getValue().entrySet()) {
+ List<DataFileMeta> smallFiles =
Review Comment:
Here we cannot pick small files at random, which would cause the merged
files min and max to skip the middle data.
For example:
inputs: File1(0-10) File2(10-90) File3(90-100)
merged: File4(0-100) File2(10-90)
This can lead to results with overlapping.
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